Press release
Comprehensive Geospatial Analytics AI Market Forecast 2025-2034: Growth Trends and Strategic Shifts
Geospatial Analytics AI
Geospatial Analytics AI Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
In recent times, there has been a significant expansion in the size of the geospatial analytics AI market. The sector is projected to rise from $0.11 billion in 2024 to $0.14 billion in 2025, indicating a Compound Annual Growth Rate (CAGR) of 31.2%. Factors that contributed to this growth during the historic period include the expansion of AI across different industries, the heightened need for surveillance and monitoring, swift deployment of AI solutions, machine learning advancements, and an increasing demand for operational efficiency.
Geospatial Analytics AI Market Size Forecast: What's the Projected Valuation by 2029?
Expectations are high for a significant surge in the geospatial analytics ai market size over the coming years. By 2029, the market is projected to be worth $0.42 billion, with a compound annual growth rate (CAGR) of 31.0%. This anticipated growth within the forecast period can be attributed to predictions involving changes in land usage, urban growth, private agricultural practices escalation, AI's transformative applications, and advancements in remote sensing technology. The forecast period also highlights some significant trends including increased adoption of ai and ml, the rise of cloud-based platform, applications' expansion, improved decision-making processes, and enhanced preparedness and response to disasters.
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What Are the Drivers Transforming the Geospatial Analytics AI Market?
The increase in the number of internet users worldwide is anticipated to fuel the expansion of the geospatial analytics AI market. The term "internet penetration" denotes the proportion of a particular population or demographic that has internet access. It takes place when a significant portion of a population or specific demographic achieves internet access, enabling extensive connectivity, access to information, communication, and economic potential. Geospatial analytics AI makes use of internet penetration to comprehend and assess the spatial distribution of internet use, allowing for specific interventions and the development of infrastructure to bolster connectivity in areas lacking sufficient service and optimize the distribution of resources for improved digital inclusion. For example, a report by the International Telecommunication Union (ITU), a Switzerland-based UN agency, in November 2022, indicated that global internet penetration had reached around 5.3 billion people. This signifies 66% of the world's population in 2022, marking a 6.1% rise from 2021. Therefore, the rise in internet penetration is foreseen to drive the expansion of the geospatial analytics AI market.
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What Long-Term Trends Will Define the Future of the Geospatial Analytics AI Market?
The considerable corporations within the geospatial analytics AI market are evolving with superior technology, including AI and geospatial platforms, intended for scenario mapping and supervision in order to achieve a competitive advantage. These platforms are characterized by the amalgamation of geospatial technology and artificial intelligence (AI) to review and decode data associated with geographic locales. Here, AI comes into picture by adding computational capacity and forecasting capacities, which enables the gleaning of significant insights from an enormous pool of geospatial information. For instance, Deloitte Touche Tohmatsu Limited, based in the UK, introduced an AI and geospatial platform in January 2024. This platform, powered by Google Cloud, integrates generative AI technology from Vertex AI. It enables clients to enhance their disaster response, infrastructure growth, and city planning strategies by offering data on land utilization, leading to more environmentally-friendly decision-making.
Which Segments in the Geospatial Analytics AI Market Offer the Most Profit Potential?
The geospatial analytics ai market covered in this report is segmented -
1) By Data Source: Navigation Satellite System (GNSS), Remote Sensing, Geo Tagging, Other Data Sources
2) By Solution: Hardware, Software, Services
3) By Deployment: Cloud, On-Premises
4) By Application: Real Estate, Sales And marketing, Coastal Application, Agriculture, Fraud Detection, Surveying, Hazard Assessment, Natural Resource Management, Transportation And Logistics, National Labs, Other Applications
Subsegments:
1) By Navigation Satellite System (GNSS): Global Positioning System (GPS), Glonass, Galileo, BeiDou, Other GNSS Systems
2) By Remote Sensing: Satellite-based Remote Sensing, Aerial-Based Remote Sensing, LiDAR (Light Detection And Ranging), Hyperspectral Imaging, Radar-Based Remote Sensing
3) By Geo Tagging: Social Media Geotagging, IoT Device Geotagging, Mobile Applications Geotagging
4) By Other Data Sources: Survey Data, Public Data Repositories, Crowd-Sourced Data, Geospatial Data From Drones
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Which Firms Dominate the Geospatial Analytics AI Market by Market Share and Revenue in 2025?
Major companies operating in the geospatial analytics AI market are Alphabet Inc., Microsoft Corporation, Amazon.com Inc., Intel Corporation, IBM Corporation, Oracle Corporation, SAP SE, Presto Automation Inc., NVIDIA Corporation, Baidu Inc., Hexagon AB, Trimble Inc., DigitalGlobe Inc., Environmental Systems Research Institute Inc., Bentley Systems Inc., Databricks Inc., CE Info Systems Ltd., Dataiku Inc., Climate X, Genesys International Corporation Ltd., Geoblink SL, L3Harris Geospatial Solutions Inc., Climate X Ltd., Chloris Geospatial Inc., Skydweller Aero Inc.
Which Regions Offer the Highest Growth Potential in the Geospatial Analytics AI Market?
Asia-Pacific was the largest region in the geospatial analytics AI market in 2024. The regions covered in the geospatial analytics ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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